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Analytic Combinatorics in Several Variables

$76.99 USD

Part of Cambridge Studies in Advanced Mathematics

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  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781107240513

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About the Authors
  • This book is the first to treat the analytic aspects of combinatorial enumeration from a multivariate perspective. Analytic combinatorics is a branch of enumeration that uses analytic techniques to estimate combinatorial quantities: generating functions are defined and their coefficients are then estimated via complex contour integrals. The multivariate case involves techniques well known in other areas of mathematics but not in combinatorics. Aimed at graduate students and researchers in enumerative combinatorics, the book contains all the necessary background, including a review of the uses of generating functions in combinatorial enumeration as well as chapters devoted to saddle point analysis, Groebner bases, Laurent series and amoebas, and a smattering of differential and algebraic topology. All software along with other ancillary material can be located via the book's website, http://www.cs.auckland.ac.nz/~mcw/Research/mvGF/asymultseq/ACSVbook/.

    • First and only book on the theory of multivariate generating functions
    • Designed to be readable by graduate students after just one year of graduate study
    • Includes many worked examples and devotes a chapter to expository examples that tie in with applications in combinatorics, probability and statistical physics
    • Summarizes a decade of new research by the authors
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    Reviews & endorsements

    'It deserves a place on college library shelves … it provides a nearly universal answer to the 'what can I do with this stuff?' question that students pose in so many basic courses. Recommended.' D. V. Feldman, Choice

    'The organization of the book is exemplary. A thorough and well-designed introduction provides full context and is worth rereading as one works through the book … The treatment of analytic methods for multivariate generating functions in this book is breathtaking. A detailed overview is followed by thorough chapters on smooth point asymptotics, multiple point asymptotics, and cone point asymptotics, then four worked examples, and extensions. The end result, a combination of analytic, Morse-theoretic, algebraic, topological, and asymptotic methods, is surprisingly effective. Indeed, it is astonishing that the authors have found relevant ways to exploit such a broad spectrum of mathematical tools to address the problem at hand.' Robert Sedgewick, Bulletin of the AMS

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    Product details

    • format: Adobe eBook Reader
    • isbn: 9781107240513
    • contains: 53 b/w illus. 2 tables 64 exercises
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Part I. Combinatorial Enumeration:
    1. Introduction
    2. Generating functions
    3. Univariate asymptotics
    Part II. Mathematical Background:
    4. Saddle integrals in one variable
    5. Saddle integrals in more than one variable
    6. Techniques of symbolic computation via Grobner bases
    7. Cones, Laurent series and amoebas
    Part III. Multivariate Enumeration:
    8. Overview of analytic methods for multivariate generating functions
    9. Smooth point asymptotics
    10. Multiple point asymptotics
    11. Cone point asymptotics
    12. Worked examples
    13. Extensions
    Part IV. Appendices: Appendix A. Manifolds
    Appendix B. Morse theory
    Appendix C. Stratification and stratified Morse theory.

  • Resources for

    Analytic Combinatorics in Several Variables

    Robin Pemantle, Mark C. Wilson

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  • Authors

    Robin Pemantle, University of Pennsylvania
    Robin Pemantle is a Professor in the Department of Mathematics at the University of Pennsylvania.

    Mark C. Wilson, University of Auckland
    Mark C. Wilson is a Senior Lecturer in the Department of Computer Science at the University of Auckland.

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